Вакансии

Location: London Workplace: Hybrid Build with us Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together. Your impact As our Senior Product Marketing Manager, you'll be leading go-to-market for Mollie's online payments product space. This is our core product offering and includes cards, Klarna, pay by bank and other products. You'll translate product capabilities and roadmap into positioning and coordinated marketing activity, connecting product strategy with execution across marketing, sales, and customer success. A key and evolving focus of this role is Agentic Commerce, an emerging area involving AI facilitated shopping that requires deep technical knowledge and strategic partnerships with entities like Visa and Mastercard. You'll play a central role in building thought leadership and developing tools such as Generative Engine Optimization to support merchants navigating this space. This role is particularly exciting because it ensures Mollie's core products are successfully brought to market and aligned with what customers actually need. By turning customer insight into strategic marketing initiatives, you'll directly support Mollie's commercial success. What you'll ship - Go to market plans built with product teams, covering technical product understanding, value and benefits, positioning, value propositions, USPs, ICPs, use cases, and messaging - Coordinated launch activity across channel teams, bringing GTM plans to life in the market - A launch framework covering foundations, pre-launch, launch, early momentum, proof points, and ramp-up - Briefs, asset lists, and competitor research that support each launch - Project timelines kept current as product readiness or market events shift - Coordinated alignment between product and go-to-market teams when roadmap dependencies or external industry timing affect launch dates What you'll bring - 5+ years of marketing experience, at least 3 of those in product marketing - End-to-end go-to-market planning experience, including ICP definition, positioning, and launch timelines - Experience in the online payments space or related areas, such as working with partners like Shopify. Prior fintech or payments exposure helps you ramp up quickly, but a strong technical product background from another vertical can also work - Strong messaging and positioning skills, with the ability to craft compelling value propositions and clear differentiation - Technical fluency, able to translate product specs, roadmaps, and integrations into GTM-ready language, with comfort using data platforms such as Looker, HubSpot, or other BI tools - Experience researching competitors and industry trends, running customer interviews or surveys, and using analytics tools to measure performance and shape strategy - Proven cross-functional project management - Strong presentation skills for internal decks and training Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below. Want a peek behind the scenes? Check out what life at Mollie https://jobs.mollie.com/ is really like. AI at Mollie We believe in Always Be Shipping, and AI brings https://jobs.mollie.com/ai-manifesto that philosophy to life across every team, every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.

Location: Ukraine; North Macedonia; Turkey; European Union; Serbia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a results-driven Senior Growth Product Manager for one of our core D2C subscription products. You will work on a single product and be fully responsible for increasing ARPU through higher product value: delivering winning tests in the post-purchase experience that make the product more valuable for each user. You will own the full cycle from research to a proven result and report to the Head of Growth, with AI tooling as a core part of your workflow. The bar is high and so is the upside - strong results are significantly rewarded, with a proven path to career growth. KEY RESPONSIBILITIES - Research & Competitor Insights: Find where users miss value and why they leave, using product and historical data, user feedback, and competitor analysis. - Hypothesis Pipeline: Turn those insights into a continuous, prioritised backlog of product ideas, each backed by evidence and a clear expected impact. - Product Value: Grow ARPU by giving users more value after purchase: improve onboarding, core features, and the moments where users decide whether the product is worth keeping. - Specs & Delivery: Write clear, testable specs and work daily with engineering so every test ships fast and works as intended. - Growth Collaboration: Coordinate with the CRO and data teams so product and funnel tests run in sequence and every result is read correctly. - Test Wins: Deliver a steady stream of A/B test winners on post-purchase metrics, with ARPU as the main one, and raise the share of tests that win over time. QUALIFICATIONS - Product Management: 3+ years in product growth roles on D2C subscription or consumer products (web-to-web, web-to-app, mobile apps) or similar markets. - Proven Wins: A track record of A/B tests or product changes that measurably grew revenue, with results you can attribute to your own work. - User Journey & Product Sense: Strong understanding of consumer user journeys and of what turns a first purchase into lasting value for the user. - Research & Analytics: Hands-on user research, competitor analysis, and product analytics (Mixpanel or a close equivalent) to build the evidence behind every idea. - Experimentation: Experience designing and interpreting A/B tests, including significance, sample size, and test duration. - AI Tooling: Active daily use of AI tools (Claude or equivalent) to accelerate concept, analysis, and prototype work, especially UI/UX design of experiments. - Lifecycle Experience: Experience with subscription onboarding, engagement, or cancellation flows is a bonus. LEADERSHIP ATTRIBUTES - Results-driven - measures their own work by test wins and revenue impact - Evidence-led - backs every idea with data, user research, or competitor proof - Ownership mentality - treats the product as their own: proposes, prioritises, and drives ideas to a result - Bias for action - makes sound decisions quickly and iterates fast - Communicates with clarity - explains ideas and results in writing so they can be reviewed without a meeting LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Tbilisi, Georgia On behalf of WorkforceTech Client #1 , SD Solutions is looking for a talented Professional Services Manager (combining Online and Offline aspects) to deliver exceptional customer onboarding and configuration support. You will meet clients on video calls to understand how their business operates and configure the system together with them in real time — acting as a trusted guide who keeps things clear, simple, and practical, even for non-technical users. At the same time, you will work behind the scenes on execution: receiving clear requirements and ensuring the system is configured accurately, completely, and ready to use before the customer logs in. Your goal is straightforward: When the interaction ends (whether live call or backend task), the customer’s account is fully usable for daily operations — nothing half-done. Your work prevents rework, confusion, and customer frustration. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Lead live onboarding and training sessions with customers via video calls (Zoom / Google Meet), understand their business workflows, and configure the system in real time Configure Connecteam based on provided requirements (both live and offline): time clocks & attendance rules, schedules & shifts, PTO & payroll policies, forms, checklists, permissions, groups & roles Build and set up schedules, rules, forms, templates, and policies Upload and manage employee data accurately (via Excel/CSV imports, data migrations from other systems) Assist customers with data transitions (e.g., importing schedules from Excel) Perform QA and thorough review of setups before go-live; identify blockers and missing inputs early Advise customers on best practices to ensure successful adoption Clearly document everything configured and any remaining action items Coordinate closely with Customer Success, Online/Offline teams, and other departments for smooth handoffs and follow-ups Ensure the customer’s account is fully ready for daily operations immediately after onboarding Working hours: 12 PM - 9 PM Tbilisi time Requirements: 1+ year of experience in SaaS onboarding, implementation, professional services, technical support, or back-office configuration (required) Strong technical aptitude and exceptional attention to detail Native or near-native English level with excellent presentation and communication skills Confidence working directly with customers (often non-technical frontline managers) Ability to break down complex requirements into clear, actionable steps Highly organized, consistent, and reliable Fast learner, very tech-savvy, quick to master new tools and systems Comfortable working US hours (CST/EST time zone) – required for live calls Previous experience with SaaS configuration, operations, or back-office support – big plus Shared Tools & Stack: Connecteam platform (web + mobile, online/offline capabilities) Excel/CSV for data uploads Task & project management: Monday.com, Trello, etc. CRM: HubSpot (familiarity) Video conferencing: Zoom / Google Meet Documentation: Notion, Google Docs AI tools are encouraged and welcomed to boost efficiency About the company: A B2B SaaS platform that gives frontline businesses — restaurants, retail chains, cleaning companies, laundries — a single tool to manage their hourly workforce. Features span time clocks, shift scheduling, PTO policies, payroll exports, digital forms, checklists, and permission-based roles for both desktop and mobile use. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Remote - Europe Time Zones; Portugal; Serbia; Spain Workplace: Remote SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes: - SplitMetrics Acquire, a platform for automating and optimizing Apple Ads.  - SplitMetrics Agency, a full-service mobile marketing agency staffed by top experts. - SplitMetrics Optimize, an A/B testing platform recognized as the ASO Tool of the Year. - App Radar by SplitMetrics: an ASO platform with advanced keyword and competitor insights. WHY SPLITMETRICS?  - For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies. - An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform.  - Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more. - Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem. - Integrated AI into our strategic approach since 2023. - Effectively collaborate across 20+ countries with a remote-first and supportive culture. We’re looking for a hands-on Senior Product Manager to own and drive the Core product direction at SplitMetrics Acquire — a B2B SaaS platform for Apple Ads management. This role is for someone who connects product decisions to real business outcomes, moves quickly based on market signals and GTM insights, and takes equal ownership of both delivery and adoption. You’ll work closely with cross-functional teams to ensure we’re not just building fast, but building what truly drives growth and customer value. The team is responsible for driving campaign performance through optimisations, such as AI Bidding, Keyword Expansion Strategies, and automated rules based on external signals. WHAT YOU’LL BE DOING — Product Strategy & Roadmap - Own and drive the quarterly strategy for the core team responsible for the performance optimisation part of the product - Define quarterly OKRs and initiatives in collaboration with your product team and aligned with the broader company strategy and OKRs - Translate signals from clients, Sales, CS, and the market into product priorities — End-to-End Product Development - Lead discovery: client research and data analysis - Define the product vision for each initiative you work on from high-level concept to details - Write clear, structured PRDs for cross-functional teams (Engineering, QA, Design) - Partner with engineers to drive execution: align on scope, unblock dependencies, support delivery — Adoption & Go-To-Market - Partner with Product Marketing on feature positioning and launch communication - Work with CS to drive adoption among enterprise clients - Define product UX copy (tooltips, banners, onboarding) - Track adoption and iterate based on data — Cross-Functional Leadership - Work in tight alignment with GTM teams (Sales, CS, Marketing) - Ensure the product supports Sales in closing and CS in expanding accounts - Represent your area with internal and external stakeholders ABOUT YOU - 3+ years of Product Management experience in B2B SaaS, ideally with enterprise-facing products - Experience in mobile UA, AdTech, or performance marketing is a strong plus — you understand the client’s world - Experience working on ML products is a plus - Strong data fluency: comfortable working with large-scale performance data, experiments, and key metrics - Ability to extract insights and make decisions even with imperfect data or analytics setup - Solid understanding of A/B testing, incrementality, and optimization logic - Proven ability to connect product decisions to business outcomes (revenue, retention, expansion) - Experience writing clear, structured PRDs for cross-functional teams - Strong prioritization skills, balancing data, business context, and stakeholder input - End-to-end ownership mindset — from discovery through delivery to adoption - Comfortable operating in ambiguity and resource-constrained environments - Experience with AI-first software development lifecycle (AI prototyping, spec-driven development, personally delivering internal tools) is a plus - Ability to align Engineering, Sales, CS, and Marketing without direct authority - Strong communication skills (written and verbal) - Fluent English (B2+) WHAT IS THERE FOR YOU? - Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation. - Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being. - Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development. - Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program. - Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback. - Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment. - Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment. OUR CULTURE At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors: - Move Fast - Get Sh*t Done - Build Together - Strive for Transparency - Own What You Do - Learn + Share = Excel Remote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

Location: Dallas Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are looking to hire a Deal Operations Analyst to support Harvey AI’s growing global sales organization. This role sits at the center of quote-to-cash execution, partnering closely with Sales, Deal Desk, Finance, and Legal to ensure deals are accurately structured, approved, and closed. This is a hands-on operational role for someone who enjoys being close to the deal flow, solving process issues in real time, and helping scale systems and workflows as the business grows. WHAT YOU'LL DO - Review, validate, and process customer orders to ensure accuracy, compliance with pricing and contracting policies, and readiness for booking and billing - Support Sales reps with Salesforce (SFDC) opportunity management, quoting workflows, and deal hygiene - Manage and triage a Deal Operations ticketing queue, ensuring timely responses and clear communication with stakeholders - Act as a frontline support resource for SFDC and CPQ-related questions from Sales - Assist with CRM and CPQ enhancements, including: - gathering and drafting business requirements - supporting user acceptance testing (UAT) and QA - helping roll out new workflows, fields, or guardrails - Contribute to sales and deal desk enablement, including documentation, process guides, and training support - Identify recurring issues or inefficiencies in quote-to-cash processes and surface recommendations for improvement WHAT YOU HAVE - 2-4+ years of experience in Sales Operations, Deal/Order Operations, Revenue Operations, or Order Management - Strong attention to detail and comfort working with complex deal structures - Working knowledge of Salesforce (SFDC) as a CRM, including opportunity and quoting workflows - Exposure to CPQ tools (e.g., Salesforce CPQ, DealHub, Ironclad CLM, or similar), with a basic understanding of how pricing and approvals are operationalized - Experience managing or working within a ticketing or queue-based support model (e.g., Zendesk, Jira, Salesforce cases, or similar) - Prior involvement in CRM/CPQ projects or enhancements, such as documenting requirements, participating in testing, or supporting system rollouts - Ability to communicate clearly with Sales, Finance, Legal, and Operations stakeholders - Comfortable operating in a fast-paced, evolving environment where processes are still being defined COMPENSATION $108,300 - $148,950 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-TM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Chicago Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are looking to hire a Deal Operations Analyst to support Harvey AI’s growing global sales organization. This role sits at the center of quote-to-cash execution, partnering closely with Sales, Deal Desk, Finance, and Legal to ensure deals are accurately structured, approved, and closed. This is a hands-on operational role for someone who enjoys being close to the deal flow, solving process issues in real time, and helping scale systems and workflows as the business grows. WHAT YOU'LL DO - Review, validate, and process customer orders to ensure accuracy, compliance with pricing and contracting policies, and readiness for booking and billing - Support Sales reps with Salesforce (SFDC) opportunity management, quoting workflows, and deal hygiene - Manage and triage a Deal Operations ticketing queue, ensuring timely responses and clear communication with stakeholders - Act as a frontline support resource for SFDC and CPQ-related questions from Sales - Assist with CRM and CPQ enhancements, including: - gathering and drafting business requirements - supporting user acceptance testing (UAT) and QA - helping roll out new workflows, fields, or guardrails - Contribute to sales and deal desk enablement, including documentation, process guides, and training support - Identify recurring issues or inefficiencies in quote-to-cash processes and surface recommendations for improvement WHAT YOU HAVE - 2-4+ years of experience in Sales Operations, Deal/Order Operations, Revenue Operations, or Order Management - Strong attention to detail and comfort working with complex deal structures - Working knowledge of Salesforce (SFDC) as a CRM, including opportunity and quoting workflows - Exposure to CPQ tools (e.g., Salesforce CPQ, DealHub, Ironclad CLM, or similar), with a basic understanding of how pricing and approvals are operationalized - Experience managing or working within a ticketing or queue-based support model (e.g., Zendesk, Jira, Salesforce cases, or similar) - Prior involvement in CRM/CPQ projects or enhancements, such as documenting requirements, participating in testing, or supporting system rollouts - Ability to communicate clearly with Sales, Finance, Legal, and Operations stakeholders - Comfortable operating in a fast-paced, evolving environment where processes are still being defined COMPENSATION $108,300 - $148,950 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-TM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is seeking a highly resourceful, detail-oriented, and execution-focused Program Manager to drive a broad portfolio of Customer Engagement initiatives spanning events, executive engagement, loyalty programs, and strategic projects. This is a highly cross-functional role for someone who thrives in fast-moving environments, can flex across multiple priorities, and enjoys turning ambitious ideas into well-executed programs. You’ll partner closely with Marketing, Sales, Customer Success, and external stakeholders to drive projects from initial concept through planning, execution, and delivery. The ideal candidate is an exceptional project manager and strong customer marketing generalist who brings structure to ambiguity, navigates complex stakeholder relationships, and takes genuine ownership of outcomes. Someone who is meticulous about the details, anticipates what needs to happen next, and can confidently drive multiple projects forward without losing sight of the bigger picture. WHAT YOU'LL DO Program Management & Cross-Functional Execution - Own end-to-end delivery of multiple concurrent initiatives, translating strategic objectives into detailed project plans with clear milestones, owners, timelines, dependencies, and deliverables. - Drive alignment and accountability across cross-functional stakeholders, proactively managing competing priorities, identifying risks, resolving blockers, and ensuring nothing falls through the cracks. - Lead projects, tracking, and documentation across the broader team, often building the operational framework for initiatives without an existing playbook. Customer Marketing & Experiences - Lead planning and execution of customer-facing programs, activations, and strategic partnerships. - Help develop, launch, and operationalize new customer loyalty, recognition, gifting, and engagement initiatives. - Manage program logistics, budgets, vendors, external partners, and production to deliver high-quality experiences. Strategic Initiatives & Program Operations - Drive execution of research and thought leadership initiatives, coordinating internal teams, external partners, timelines, and deliverables. - Own internal customer engagement initiatives, including customer participation in advocacy activities. - Establish scalable project management processes, trackers, workflows, and reporting to improve visibility, accountability, and operational efficiency as the function grows. QUALIFICATIONS - 5–8+ years of experience in customer marketing, program management, experiential marketing, strategic operations, or related roles, ideally at a high-growth SaaS or technology company. - Exceptional project management and organizational skills, with demonstrated ability to independently own and deliver complex, multi-stakeholder initiatives from inception through completion. - Strong cross-functional leadership and stakeholder management skills, with the ability to influence without direct authority and work effectively with senior internal and external stakeholders. - High ownership, sound judgment, and a bias toward action. You anticipate challenges, proactively solve problems, and can be trusted to drive projects forward with minimal oversight. - Familiarity with tools such as Notion, Asana, Airtable, or similar project management platforms. COMPENSATION $136,000 - $187,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LR1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW The Business Development team at Harvey is responsible for enabling step-change outcomes, working in lock-step with go-to-market and product leadership. We rapidly adapt to the changing market environment, unlock new product experiences, and deliver new business. As a member of this team, you will help us build differentiated product offerings and scalable go-to-market motions. This role owns the legal research side of that work. You will source, evaluate, and negotiate access to the legal research content our products are built on and connected to, across both primary and secondary sources. You will quarterback these deals from identification and evaluation through negotiation and product integration. Legal content is a difficult market to work in. Rights are fragmented, licensing terms are idiosyncratic. We are looking for someone who already understands that terrain, either because they practiced and relied on these materials every day, or because they sat on the other side of the table building and licensing them. You will work closely with senior stakeholders across product, engineering, finance, legal, and go-to-market functions to drive strategic initiatives and ensure successful partnership outcomes. Your ability to articulate the value of Harvey's product and sales strategy, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work. WHAT YOU'LL DO - Develop and execute a strategic plan for legal content and data partnerships, aligned with Harvey's overall product and GTM strategy. - Independently identify, evaluate, and establish a range of partnerships with legal content and data providers. - Assess corpora on the merits: jurisdictional coverage, historical depth, update cadence, editorial enhancements, metadata quality, and what rights actually come with the data. - Negotiate complex licensing agreements, ensuring mutually beneficial terms and alignment with company goals. - Conduct quantitative analysis, create business cases, and present them to executives. - Collaborate closely with product, engineering, finance, legal and GTM teams to oversee the successful integration of new content sources into the product. - Build and nurture strong long-term relationships with key partners, ensuring mutual success and achievement of partnership goals and business objectives. - Operate autonomously, being both a proactive executor and strategic thinker at Harvey pace. WHAT YOU HAVE - You practiced law in the United States, or you helped build the tools lawyers practice with. We have a strong preference for litigators who have real fluency in the legal research corpus. Experience working in business development, product, or corporate development is a strong plus. - Proven ability to develop executive relationships, negotiate complex contracts, and problem-solve with external partners to drive distribution in new markets. - Experience collaborating with product teams to develop and distribute new technology solutions. - Team player who can collaborate effectively across internal functions (Product, Legal, GTM, etc.) to achieve common goals. - Demonstrated passion for Harvey's mission and a strong understanding of AI and its potential applications in knowledge work. - Comfort with ambiguity and the ability to thrive in a fast-paced, evolving environment. - Excellent communication and interpersonal skills—can influence without authority and drive urgency with empathy. COMPENSATION $240,000 - $260,000 USD OTE 70/30 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-TA1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW The Business Development team leads Harvey's partnerships with the cloud hyperscalers, frontier AI labs, inference providers, data suppliers, and emerging open source ecosystem. These are multi-dimensional relationships: the same companies we build with are also the ones we build on and go to market alongside. Our work spans commercial deal structuring, co-selling, co-development, and co-marketing, working cross-functionally with Finance, Research, Product, Sales, Marketing, and other teams across the company. As a member of the Cloud & AI team, you will help drive strategic partner initiatives and engagement ranging from new model releases and product launch announcements to commercial agreements and co-marketing campaigns, and own the tactical execution that follows: activating commercial marketplaces, unlocking channel GTM opportunities, accelerating field enablement, and supporting day-to-day requests. It is a unique opportunity that gives you a front row seat to how fast-growing AI companies work together to drive mutual growth. This is a zero to one builder role on a team that will grow alongside the partner portfolio. You will be tasked with working across a wide range of programs and initiatives, including standing up new operational processes and ongoing partner reporting. Much of what this role touches does not have a defined playbook yet. The ideal candidate is a strong operator who can bring structure to complex partnerships, move comfortably between strategic work and hands-on execution, and build programs that scale as the team grows. WHAT YOU'LL DO PARTNER RELATIONSHIP & COMMERCIAL MANAGEMENT - Serve as a go-to resource for multiple cloud, frontier lab, and inference & data partners, and act as a consistent point of contact across internal and external teams - Run regular partner business reviews and joint planning sessions, including quarterly goal setting and executive involvement - Support commercial negotiations, including business case development and deal structuring, working closely with Finance, Product, and Research through to signature - Track partner activity, program performance, and progress against joint plans, and provide clear updates to stakeholders JOINT GO-TO-MARKET & CO-SELLING - Run the co-sell motion with select partners: drive partner-sourced and partner-influenced revenue by designing plays that build momentum with field teams (account mapping, deal registration, pipeline reviews, and alignment with Harvey's sales org) - Activate and operate Harvey's presence on commercial cloud marketplaces, including listings, private offers, and the operational workflows behind them - Support Harvey's sales team on individual partner-supported opportunities by bringing in the right partner contacts, unlocking partner resources, and clearing blockers - Build enablement materials for both sides: partner-facing Harvey narratives, and internal guides on how to sell with each partner CO-DEVELOPMENT & CO-MARKETING - Coordinate joint technical programs with partners, connecting Harvey's Research and Product teams with their counterparts and keeping feedback moving in both directions - Support product launch co-announcements, lining up timing, messaging, and approvals across Harvey Marketing and partner communications teams - Launch joint marketing programs with partners: case studies, webinars, events, and co-branded content - Maximize Harvey's standing in partner programs to unlock funding, technical resources, and go-to-market support BUILDING THE FUNCTION - Contribute to the operational foundation of the team, including portfolio tracking, partner plans, pipeline reporting, and regular reporting cadences with leadership - Develop repeatable processes and internal frameworks for how partnerships are evaluated, launched, and reviewed, so that programs stay scalable as the team grows - Keep internal teams across Sales, Product, Research, Marketing, and Finance current on partner activity through regular updates and business reviews - Take on new scope as the partner portfolio and the team expand over time WHAT YOU HAVE - 5+ years of professional experience in partnerships, alliances, sales, business development or corporate development, ideally at a high-growth company where programs were in their infancy and the partner motion was still being built - Experience structuring or managing complex alliances or partnerships, including commercial negotiations - Experience or knowledge of commercial marketplaces, including listings, private offers, and deal transaction mechanics - Track record of sourcing or influencing revenue through partner channels, ideally with ownership of a pipeline or revenue target - Experience across co-selling, co-marketing, and co-development, with a feel for the nuanced dynamics of partners who are suppliers, channels, and product enablers - Understanding of the AI ecosystem: the major cloud providers and frontier labs, how models are served and priced, and the emerging players across each market - Strong program management skills, including the ability to manage multiple workstreams, establish clear owners and timelines, and lead initial ideation through execution - Excellent written and verbal communication skills with the ability to synthesize complex information and communicate clear recommendations to executives - Comfort with ambiguity and a bias toward building when there's no existing process to follow, and the ability to influence without authority across teams COMPENSATION $200,000 - $275,000 USD OTE 70/30 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-TA1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is transforming how legal and professional services work gets done. As AI moves from answering questions to carrying out complex workflows, the engineering challenge expands: every interaction depends on systems that can handle sensitive data, stream results, coordinate work, and stay fast and reliable under growing demand. Backend Platform builds the shared foundations that make this possible. We’re looking for an Engineering Manager to lead the team shaping how backend software is built at Harvey. Your team owns the frameworks, libraries, and core abstractions that product engineers use every day—from database access and caching to request handling, observability, and safe context propagation. A better abstraction here can accelerate every product team. A stronger default can prevent an entire class of production failures. The impact of your decisions compounds across the engineering organization. The next chapter is especially compelling. As both engineers and coding agents contribute more software, we need a platform that makes the right patterns easy to use and the wrong ones difficult to introduce. You’ll help define that foundation: clear architectural boundaries, reusable building blocks, and automated safeguards that let teams ship with confidence. You’ll tackle deep systems problems while building an engineering experience people love. This is a technical leadership role with room to shape both the platform and the team. You’ll hire and develop exceptional engineers, set the technical direction, and stay close to architecture and code. If you enjoy turning hard, recurring problems into simple tools that make everyone around you more effective, this is an opportunity to do it at the center of Harvey’s growth. WHAT YOU'LL DO - Lead and grow the Backend Platform team. Hire, coach, and retain exceptional engineers, giving them clear ownership, meaningful technical challenges, and room to grow. - Define the platform’s technical vision and roadmap. Partner with product engineering teams to understand their hardest problems, identify the investments with the broadest impact, and deliver improvements they can feel in their daily work. - Build the next generation of Harvey’s backend foundations. Guide the design of shared frameworks for database access, session management, caching, request handling, and streaming—with clear interfaces and strong defaults. - Help Harvey scale through better architecture. Work with Infrastructure to evolve how applications use databases, replicas, and new storage systems, making those capabilities accessible without requiring every product team to solve the same problems. - Scale the data layer. Build a data access layer so an entity can move to a new store (KV, NoSQL) without product changes. Make read replicas usable and move high-volume data off the primary. - Make failure boring. Load test until “what happens at 3x?” has a real answer. Add circuit breakers, a standard outbound client with timeouts, retries and idempotency, and noisy-neighbor isolation, so one workspace or one slow vendor can’t take down the platform. - Make security and reliability properties of the platform. Partner with Security and product teams on safe handling of customer data, workspace isolation, and safeguards that prevent recurring failure patterns before code reaches production. - Shape a codebase that humans and AI can build in confidently. Establish modular boundaries, enforceable contracts, and automated checks that make changes easier to reason about, review, and ship. - Turn platform improvements into customer impact. Reduce latency, improve observability, and make production issues easier to diagnose. Measure success through adoption, developer productivity, and the performance and reliability of the products built on your work. - Stay close to the engineering. Lead architecture discussions, review critical code, prototype when useful, and help engineers navigate difficult tradeoffs. Partner closely with Infrastructure, Developer Platform, Model Infrastructure, Security, and product engineering leaders to carry changes through to adoption. WHAT YOU HAVE - 6+ years of software engineering experience and 3+ years of engineering management experience, with a track record of building strong teams and delivering complex backend or platform systems. - Deep technical judgment in backend architecture and distributed systems, including database access patterns, concurrency, caching, API design, and performance. - Experience building shared libraries, frameworks, or internal platforms adopted by multiple engineering teams. You know how to balance a useful abstraction with the flexibility its users need. - The technical depth to engage directly in design and code reviews, investigate difficult systems problems, and guide migrations across a large, evolving codebase. Experience with Python and frameworks such as Flask or FastAPI is valuable. - A track record of hiring, coaching, and developing engineers, setting clear expectations, and creating a culture of ownership and thoughtful execution. - Strong product instincts for developer tools. You listen closely to engineers, understand where they lose time, and turn that feedback into simpler, more effective ways to build. - Experience embedding reliability, observability, and security into shared systems, with measurable improvements in production. - Clear communication and the ability to lead across team boundaries, align people on technical tradeoffs, and drive changes from design through rollout. - Serious, hands-on use of AI coding agents, and opinions on what makes a codebase safe for them to work in. COMPENSATION $272,000 - $355,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is transforming how legal and professional services work gets done. As AI moves from answering questions to carrying out complex workflows, the engineering challenge expands: every interaction depends on systems that can handle sensitive data, stream results, coordinate work, and stay fast and reliable under growing demand. Backend Platform builds the shared foundations that make this possible. We’re looking for an Engineering Manager to lead the team shaping how backend software is built at Harvey. Your team owns the frameworks, libraries, and core abstractions that product engineers use every day—from database access and caching to request handling, observability, and safe context propagation. A better abstraction here can accelerate every product team. A stronger default can prevent an entire class of production failures. The impact of your decisions compounds across the engineering organization. The next chapter is especially compelling. As both engineers and coding agents contribute more software, we need a platform that makes the right patterns easy to use and the wrong ones difficult to introduce. You’ll help define that foundation: clear architectural boundaries, reusable building blocks, and automated safeguards that let teams ship with confidence. You’ll tackle deep systems problems while building an engineering experience people love. This is a technical leadership role with room to shape both the platform and the team. You’ll hire and develop exceptional engineers, set the technical direction, and stay close to architecture and code. If you enjoy turning hard, recurring problems into simple tools that make everyone around you more effective, this is an opportunity to do it at the center of Harvey’s growth. WHAT YOU'LL DO - Lead and grow the Backend Platform team. Hire, coach, and retain exceptional engineers, giving them clear ownership, meaningful technical challenges, and room to grow. - Define the platform’s technical vision and roadmap. Partner with product engineering teams to understand their hardest problems, identify the investments with the broadest impact, and deliver improvements they can feel in their daily work. - Build the next generation of Harvey’s backend foundations. Guide the design of shared frameworks for database access, session management, caching, request handling, and streaming—with clear interfaces and strong defaults. - Help Harvey scale through better architecture. Work with Infrastructure to evolve how applications use databases, replicas, and new storage systems, making those capabilities accessible without requiring every product team to solve the same problems. - Scale the data layer. Build a data access layer so an entity can move to a new store (KV, NoSQL) without product changes. Make read replicas usable and move high-volume data off the primary. - Make failure boring. Load test until “what happens at 3x?” has a real answer. Add circuit breakers, a standard outbound client with timeouts, retries and idempotency, and noisy-neighbor isolation, so one workspace or one slow vendor can’t take down the platform. - Make security and reliability properties of the platform. Partner with Security and product teams on safe handling of customer data, workspace isolation, and safeguards that prevent recurring failure patterns before code reaches production. - Shape a codebase that humans and AI can build in confidently. Establish modular boundaries, enforceable contracts, and automated checks that make changes easier to reason about, review, and ship. - Turn platform improvements into customer impact. Reduce latency, improve observability, and make production issues easier to diagnose. Measure success through adoption, developer productivity, and the performance and reliability of the products built on your work. - Stay close to the engineering. Lead architecture discussions, review critical code, prototype when useful, and help engineers navigate difficult tradeoffs. Partner closely with Infrastructure, Developer Platform, Model Infrastructure, Security, and product engineering leaders to carry changes through to adoption. WHAT YOU HAVE - 6+ years of software engineering experience and 3+ years of engineering management experience, with a track record of building strong teams and delivering complex backend or platform systems. - Deep technical judgment in backend architecture and distributed systems, including database access patterns, concurrency, caching, API design, and performance. - Experience building shared libraries, frameworks, or internal platforms adopted by multiple engineering teams. You know how to balance a useful abstraction with the flexibility its users need. - The technical depth to engage directly in design and code reviews, investigate difficult systems problems, and guide migrations across a large, evolving codebase. Experience with Python and frameworks such as Flask or FastAPI is valuable. - A track record of hiring, coaching, and developing engineers, setting clear expectations, and creating a culture of ownership and thoughtful execution. - Strong product instincts for developer tools. You listen closely to engineers, understand where they lose time, and turn that feedback into simpler, more effective ways to build. - Experience embedding reliability, observability, and security into shared systems, with measurable improvements in production. - Clear communication and the ability to lead across team boundaries, align people on technical tradeoffs, and drive changes from design through rollout. - Serious, hands-on use of AI coding agents, and opinions on what makes a codebase safe for them to work in. COMPENSATION $272,000 - $355,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

About the Company and the Role Welltory is one of the world’s most popular health monitoring apps, with 17 million downloads across 130 countries. We combine biometrics, science, AI and design to help people understand their health and well-being. ▸ Named to the Inc. 5000 (2026) , the list of America’s fastest-growing companies ▸ Featured in Forbes, The Times, Tom’s Guide and Real Simple ▸ Cited in peer-reviewed research, including a Wiley journal and a PMC publication naming Welltory a reliable app for HRV-based stress assessment ▸ Semifinalist of the Digital Health & AI Awards We see support not just as a service channel, but as a product growth engine. We use AI to automate tasks, scale communication, and improve user satisfaction. And now, we’re looking for people who want to build the future of support with us. In our app, support is not just about fast replies — it's a way to help users make sense of their health and truly experience the value of our product. We’re looking for an Customer Experience Manager — someone who enjoys working with user requests, helping people understand complex data, testing AI-powered solutions, and improving user experience. What We’re Looking For 3+ years of experience in customer support, customer success, or operations — ideally in tech products where user experience and metrics matter Ability to handle technical requests — from bugs to subscriptions and data source syncing Hands-on experience with AI tools, LLMs, and automation Comfortable working with product, engineering, and AI teams Excellent English skills — both written and verbal — and the ability to write clear, informative messages Solid grasp of user psychology and a knack for solving complex cases Ability to break down complex topics into plain, user-friendly language Tech-savviness and curiosity — you enjoy figuring things out Interest in wearables and health data (HRV, sleep, stress) — you’ll explain what users’ numbers mean and dig into interesting complex issues. Comfortable with data: Amplitude/Metabase dashboards, basic SQL or Python, working with APIs. What You’ll Do Help users via Intercom, email, app stores, and social media Handle user requests related to subscriptions, data syncing, integrations, and more Work hands-on with Megan, our AI support agent that already resolves over 60% conversations, review and rate its answers, test new prompts and pipelines, and find where it fails. Automate workflows using no-code tools like n8n Improve key support metrics — reduce churn and refunds, speed up resolution time, and boost response quality Handle sensitive conversations with care: users with chronic conditions, health anxiety, and privacy/data-deletion requests (GDPR). Our Stack We love automation and lean on AI tools to scale. You don’t need to know all of them — what matters is your ability to learn quickly. Intercom ChatGPT, Claude Notion, Confluence Slack Asana Figma Amplitude, Metabase What We Offer Flexible hours & a high-trust culture — we care about results, not clock time Competitive salary, performance-based bonuses, and stock options Access to a therapist & employee support program Health insurance Support for personal learning and development Unlimited vacation policy Culture of openness, honesty, and high standards How to Apply Click Apply for this job and send your application. What happens next: You’ll get an email with a 30‑minute questionnaire to share your contact details, resume link, and experience. We review every application and will get back to you either way. If we’re a good match, the next steps are: Test assignment Culture Fit interview with HR Technical interview with the hiring manager We’re building AI-first support — at the intersection of communication and technology. Our approach helps people around the world better understand their health, feel genuinely cared for, and see real value in what we build. Does this sound like you? Send us a message — we read every application and will get back to you.

Location: Canada About the Role You will be the person who makes our AI better at selling. You will read its conversations, notice what is working and what is not, and change the instructions it follows so the next thousand conversations go better. You do not need to know everything on day one. We will teach you our tools, our playbooks and how to write and test prompts. What we cannot teach is the instinct for conversations, a feel for sales, and the curiosity to dig into the data and ask why. What You'll Do Review AI-drafted text messages each day, and approve, edit or rewrite them before they send. Spot patterns across conversations, such as an opener that gets replies but no orders, and figure out the cause. Update each brand's prompts and playbook to fix problems at the source, then test the change before it goes live. Respond to brand requests and turn them into playbook updates. Help launch new brands: deep research on their brand, write the persona and opening messages, and check that offers work. Run and track A/B tests, and report what won. Requirements You read people well. From one text you can tell whether a shopper is ready to buy, has a question, or is done, and you reply the way a real person would. You have sales instinct. You answer an objection and then ask for the sale, without arguing or pushing the customer away. You are curious about data. You can open a table of conversations and ask the right questions: how many, compared to what, at which brand, since when. You notice when a number looks off and go find out why. You fix the cause, not the symptom. When the AI says something wrong, you look for the reason (a missing fact, a vague rule, two rules that conflict) and fix the instruction so it does not happen again. You are comfortable with AI tools. You use ChatGPT, Claude or similar tools regularly and understand that how you ask shapes what you get back. You are online. These are live conversations. You are responsive during working hours and quick to pick things up in Slack. You learn fast and like feedback. You pick up new tools quickly and want to get better each week. Nice to Have Experience in sales (SDR, BDR, retail or any role with a close rate), customer support, or live chat. Experience at a DTC brand or ecommerce agency. Familiarity with Shopify, Klaviyo, Postscript or similar tools. Spreadsheet skills, or basic SQL. Something you have built or automated with AI on your own. What We'll Teach You Our console, approval queue and playbook system. How to write, test and ship prompt changes. Shopify basics, discount codes and how they combine. How we run and read A/B tests.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Financial Data and Controls Lead to join our Billing Platform team. Billing Platform builds the systems customers use to transact with Anthropic: subscriptions, usage billing, quote to cash, invoicing, and payments. You'll be the dedicated owner of billing accuracy, reconciliation, and financial controls across those systems, making sure the right checks run, the right controls are in place, and the audit evidence exists. Our billing systems and pricing change often, and each flow needs to meet SOX requirements. Accurate billing is what lets us launch products and pricing quickly and still close the books on time. The hard problems today include validating negotiated pricing from contract to invoice, handling the many forms of credits, app store billing, and keeping controls current while the systems under them are replaced. This is a foundational role and the first hire of its kind on the team. You'll lead a working group of the reconciliation and controls owners from each billing engineering team, and you'll set the approach they follow. You'll work closely with Finance Systems, Accounting, Internal Audit, and Data Engineering. The role sits in Engineering and works with Finance every day. Our Data organization builds the pipelines and owns the warehouse, and you'll use that data and partner with that team. We're looking for an engineer or data practitioner with strong accounting domain knowledge, who can talk to engineers about systems and to Finance and auditors about risk and materiality. Key responsibilities Own reconciliation and accuracy checks for critical billing data (quantity, price, discounts, and invoices) across our product platform, third-party billing and payment providers, app stores, cloud marketplaces, and in-house systems Design and run detective controls that catch billing errors before they reach the accounting books Partner with billing engineering teams to turn repeat checks into automated verifiers Review billing changes that have financial impact, flag the ones that touch SOX or IT application controls (ITACs), and make sure functional test evidence is in place Make SOX review a standard, lightweight step in how billing changes ship, treated like a security review, so launches are not delayed by it Own the end-to-end test strategy and audit evidence for those changes, working with Finance Systems, Data Engineering, Accounting, and Internal Audit Triage billing errors, prioritize backfills and fixes with the owning teams, and track materiality over time Define and maintain the data contracts between billing and finance systems, so downstream teams can find and trust the data they need Lead the working group of reconciliation and controls owners across billing engineering teams, through influence and not reporting lines Act as the Billing owner, alongside Accounting and Finance Systems, for translating the product and pricing roadmap into financial impact, test strategy, and process updates Minimum qualifications Experience building or owning a financial ledger, billing reconciliation, or cash reconciliation system end to end, one that Accounting relied on to close the books Hands-on SQL skills strong enough to take two messy datasets (for example usage events and invoices), match them, find the breaks, and explain the root cause Accounting domain knowledge (order to cash, month-end close, and materiality) sufficient to tell which billing changes have financial impact Experience working with SOX and Internal Audit teams on IT application controls, detective controls, transaction monitoring, functional test evidence, and auditor walkthroughs Experience defining data contracts between billing or product systems and finance systems such as the ERP, general ledger, or revenue recognition Track record of driving work across Engineering, Finance, Accounting, and Audit without direct authority Ability to explain technical issues to Finance and auditors in their terms, and financial risk to engineers in theirs Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications Background as a backend, data, or analytics engineer who built a financial ledger or cash reconciliation system from scratch Experience running these systems under public company reporting requirements, and scaling them as the company grew Experience with usage-based or consumption billing Experience with multi-party billing, such as marketplaces, or app stores Experience turning manual checks into automated verifiers with engineering teams Experience remediating a control deficiency, or standing up a controls program while the underlying systems were changing A track record of using Claude or other AI tools to automate reconciliation, testing, or evidence collection, with checks that hold up to review Experience with billing and finance tools such as Stripe, Metronome, Zuora, NetSuite, or Workday Financials Python for data analysis or automation The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $345,000 — $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is a large distributed system: training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts. As an engineer in RL Engineering, you'll work on keeping that system secure as it scales. This is a hands-on engineering role. You'll work in the RL codebase and the infrastructure underneath it, alongside the engineers and researchers who build and use it. The system is large and changes as fast as the research does, so security work here has to keep up with that pace without costing performance or velocity. We're hiring from two backgrounds: security engineers who want to work on large-scale ML systems, and ML systems or research engineers who want to work on security. Strong candidates have depth in one and real interest in the other. Key responsibilities Design, build, and operate security controls for RL training systems and the infrastructure they run on Work across the stack (orchestration, environments, training, inference) wherever the work is needed Review designs and code across the RL stack, find security problems, and fix them Build shared libraries and tooling that other RL engineers and researchers build on Build the observability needed to understand what these systems are doing Work with researchers and performance engineers to make sure security changes preserve training correctness and performance Write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems or security systems in production Strong understanding of security fundamentals Working knowledge of Linux, containers, and cloud infrastructure Experience debugging complex problems across many hosts and services Ability to reason about tradeoffs between security, performance, and reliability Strong written communication, including design documents Preferred qualifications Experience running ML training or inference infrastructure at scale Experience with infrastructure security, such as isolation, access control, networking, or identity Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience building observability for large fleets Experience supporting research teams or other fast-moving internal users Familiarity with reinforcement learning or large language model training workloads The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Sales Development Manager for Enterprise at Anthropic, you will lead the team that opens our most strategic customer relationships. You'll build and manage a team of 6-10 Business Development Representatives (BDRs) who generate high-value pipeline inside complex enterprise organizations through account-based prospecting, multi-threaded outreach, and rigorous qualification. Enterprise buying is long and involves many stakeholders. The work here is less about volume and more about depth: knowing an account well enough to reach the right people with the right message, and staying with it long enough to turn early conversations into real opportunities. You'll bring a strong understanding of enterprise sales cycles and organizational dynamics, and you'll coach your team to develop strategic accounts over time. You'll partner closely with Enterprise Account Executives and with leaders across Sales, Revenue Operations, Strategy, and Marketing. You'll also develop the next generation of Anthropic's enterprise sellers, helping BDRs grow into Account Executive roles while they help the world's largest organizations adopt safe, frontier AI. Key responsibilities Build, lead, and scale a team of BDRs focused on the Enterprise segment Drive strategic pipeline generation through account-based prospecting and targeted outbound campaigns to Global 2000 accounts Coach your team on partnering with Enterprise Account Executives to develop account plans, coordinate multi-threaded outreach, and ensure high-quality opportunity handoffs Establish and track KPIs focused on opportunity quality, deal size, and strategic account penetration Coach and model for your team on enterprise prospecting, stakeholder mapping, and complex qualification Build a deep understanding of enterprise buying processes, and coach the team on navigating procurement, legal, and security requirements Own pipeline reviews with sales leadership covering enterprise pipeline health, account penetration, and competitive positioning Build strong relationships with cross-functional leaders and partners across Sales, Revenue Operations, Strategy, and Marketing Coach and mentor BDRs on strategic prospecting, executive engagement, and career development toward Account Executive roles Minimum qualifications Experience managing BDR, SDR, or new business Account Executive teams in an enterprise-focused sales organization A track record of building teams that prospect successfully into complex enterprise organizations Experience with account-based selling strategies, including account planning, stakeholder mapping, and multi-threaded outreach Hands-on proficiency with a CRM and sales engagement tooling (e.g., Salesforce, LinkedIn Sales Navigator, or similar), and the analytical skills to design prospecting systems and measure pipeline quality Demonstrated ability to coach representatives on navigating complex organizational structures and multi-stakeholder deals Clear written and verbal communication, including the ability to engage executive-level stakeholders An understanding of Anthropic’s products, ecosystem, and hands on building experience with LLMs Excitement about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Personal closing experience as an Account Executive, Account Manager, ideally in a management role Experience managing teams that prospect into Fortune 500 or Global 2000 accounts A track record of developing BDRs who move successfully into enterprise Account Executive roles Experience building enterprise prospecting playbooks where none existed Hands-on experience with Claude, Claude Code, or other AI prospecting tools, and with sales tools such as Apollo and HubSpot Experience in API-first, consumption-based, or platform business models Background in AI or machine learning, cloud infrastructure, or developer platforms Familiarity with enterprise procurement, security review, and legal processes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $350,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Overview Fanatics Betting & Gaming is seeking a Senior Associate, VIP Retention Strategy to support the strategy behind how our highest-value customers are hosted. Our Account Management and Fanatics ONE Host teams exist to deliver service excellence to VIP customers across sportsbook and casino, and both are evolving quickly as we grow the population we cover. This role is the strategy and operations engine behind that work. You will help raise the standard of our hosting program, translate the commercial strategies set by the sportsbook and casino teams into what hosts actually do day to day, and build the measurement and process that tell us whether it is working. You will partner closely with host leadership, analytics, and product, and your work will be visible to senior leadership. Key Responsibilities Support the strategy and performance of the Fanatics ONE Host program, raising the standard of service it delivers at scale. Translate sportsbook and casino commercial strategies into clear plans and playbooks for the Account Management and host teams. Build and maintain the reporting that measures hosting performance, retention, and customer engagement. Define and document the processes, standards, and playbooks hosts work from, including tone and quality standards. Help design and test new hosting approaches, and measure results against a control. Partner with analytics and product on the tooling and AI-assisted workflows that make hosts more effective. Build the briefing and insight materials hosts use to prepare for customer contact. Support the operating cadence of the retention team: recurring reporting, performance reviews, and leadership updates. Ensure Responsible Gaming standards are built into hosting programs rather than applied after the fact. Experience & Skills 2+ years in betting, gaming, hospitality, or a comparable consumer business, ideally in a strategy, operations, analytics, or VIP-facing role. Strong analytical foundation, comfortable working directly in data, building reporting, and defining metrics. Working fluency with Excel and exposure to SQL or a BI environment. Clear writer, able to turn a strategy into a playbook that a front-line team can actually follow. Highly organized, with the discipline to keep recurring reporting and process documentation current. Comfortable partnering with front-line teams and senior stakeholders outside your direct reporting line. Interest in how service and relationships drive customer loyalty, and in the tooling that makes service scalable. Commitment to Responsible Gaming and to keeping customer wellbeing ahead of commercial outcomes. Self-starter, detail-oriented, and comfortable with ambiguity in a function that is still being built. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $88,000 — $107,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: New York City, NY Workplace: hybrid Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Summary: The Senior Legal Solutions Engineer is the technical and domain expert on Filevine’s Enterprise and Strategic deals — the most sophisticated and highest-value opportunities in our pipeline. You will partner closely with Account Executives to position Filevine’s case management, AI, and contract management solutions to large law firms, insurance carriers, government entities, and corporate legal departments. Unlike a traditional solutions engineer who joins late in the cycle to run a demo, you will be embedded across the full sales cycle — from early discovery through to close — on Strategic accounts. You will sit in the room (often in person) with sophisticated legal buyers, diagnose how their teams actually work and where time is lost, and translate that understanding into a credible, defensible solution narrative. You will also serve as connective role between sales, product, and marketing, making sure the way Filevine talks about its products in market is grounded in how those products actually work. This is a senior, accelerated role. You will be given immediate exposure to Enterprise and Strategic deals rather than ramping through the standard SMB-to-Enterprise progression, and you will work directly with sales leadership and executives regularly. Key Responsibilities Strategic Deal Engagement Partner with Account Executives across the full sales cycle on Enterprise and Strategic opportunities — participating actively in discovery, not just demos. Assist in leading consultative discovery with sophisticated legal buyers: understand their practice, workflows, and operational pain before positioning a solution. Prepare and deliver compelling, story-driven product demonstrations tailored to each prospect’s practice area and buying committee. Translate complex product and technical concepts for both legal and technical audiences, and earn credibility with practicing attorneys and firm leadership. Research and recommend the right combination of solutions from Filevine’s suite — including LOIS — to address each customer’s needs. Influence the successful closing and win rates of strategic accounts in collaboration with the sales team. Travel frequently for on-site discovery sessions, demos, and executive meetings (see Travel & Location below). Internal Team Partnership Partner with internal teams such as sales engineers, sales, marketing, product, etc. to develop accurate talk tracks, demo flows, and use cases for product launches and campaigns — providing real-world, field-tested input that marketing collateral can anchor against. Support the Sales team — delivering product demos, producing video and live-demo content for partner referral programs, contributing to RFP responses, and representing Filevine at partner conferences and on-sites, etc. Build and maintain demo environments used for events or sales cycles. Partner with Product Management and Product Marketing on pre-launch enablement so AEs and SEs share a common anchor narrative before a release hits the market. Support the development and delivery of internal sales certifications and training programs that keep the field current on Filevine’s rapidly evolving product portfolio. Qualifications We are looking for an experienced practitioner who lives at the intersection of legal practice and technology. Candidates may have experience such as the following: A mid-level associate from a leading law firm — M&A, litigation, or capital markets — who has stayed close to legal innovation and is ready to move out of billable practice. A legal operations veteran who came up through BigLaw or has experience with in legal ops, managed services, an ALSP, or a legal-technology incumbent. An in-house lawyer who has built or co-designed internal tools, automation, or knowledge systems and is comfortable working alongside engineers and product teams. In addition, candidates should have: Demonstrated interest in and fluency with legal technology and AI — ideally evidenced by knowledge-management work, innovation projects, or thought leadership. Strong interpersonal and communication skills, including the ability to translate between technical product teams, marketing, and customer-facing audiences. Dynamic storytelling ability with a persuasive, executive-ready presentation style. A curious, consultative, problem-solving mindset and comfort operating in environments where messaging and product evolve quickly. Travel & Location This role carries a weekly travel expectation. Filevine is currently fielding one to three Enterprise/Strategic on-site requests per week, and this position exists to meet sophisticated buyers where they are — in their offices, at conferences, and at executive meetings. The possibility of weekly travel should be an expectation Compensation Information: $185,000 - $225,000+   The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package. Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.